VLG | Computer Vision and Learning Group

Administration

Semester	Autumn 2026
Catalogue Link	252-0206-00L
Moodle	Moodle course page
Exercise Code	GitHub repo
Lecturers	Siyu Tang (Vision) Markus Gross (Graphics) Barbara Solenthaler (Graphics)
Lecture	Tue 10:15-12:00, room HG G 3 Thu 14:15-16:00, room HG G 3
Vision Assistants	Zhiyin Qian, Ankita Ghosh, Xiaozhong Lyu, Yutong Chen, Zinuo You, Bahri Batuhan Bilecen
Graphics Assistants	Davide Corigliano, Cyrill Imahorn, Gabriel Hug, Michael Baumgartner
Student Assistants	Filip Orlando Cybulski, Ali Gorgani, Sotirios Karapiperis
Tuesday Tutorial	Tue 13:15-16:00, room CHN G 42
Thursday Tutorial	Thu 09:15-12:00, room IFW A 36
Past Exams	VIS exam collection

Supplemental Info

This schedule is tentative and will be updated before and during the semester.
Slides are accessible on Moodle.
There will be no video recordings this year.
Both lecture and exercise content are exam relevant.

Exam Notes

Both handwritten and digital notes on paper are allowed in the exam, subject to the final exam announcement.

Lecture Schedule

Week	Tuesday	Topic	Thursday	Topic
Week 1	15-Sep	Introduction to Vision	17-Sep	The Digital Image
Week 2	22-Sep	Convolution and Filtering I	24-Sep	Convolution and Filtering II
Week 3	29-Sep	Fourier Transforms I	1-Oct	Fourier Transforms II
Week 4	6-Oct	Image Features	8-Oct	Optical Flow
Week 5	13-Oct	Unitary Transforms	15-Oct	Pyramids and Wavelets
Week 6	20-Oct	Object Detection and Segmentation I	22-Oct	Object Detection and Segmentation II
Week 7	27-Oct	Machine Learning	29-Oct	Deep Neural Networks
Week 8	3-Nov	Introduction to Graphics	5-Nov	Graphics Pipeline
Week 9	10-Nov	Light and Colors	12-Nov	Transformations
Week 10	17-Nov	Lighting and Shading I	19-Nov	Lighting and Shading II
Week 11	24-Nov	Geometry and Textures I	26-Nov	Processing Signals
Week 12	1-Dec	Geometry and Textures II, Scan Conversion	3-Dec	Bezier Curves, B-Spline Curves
Week 13	8-Dec	Tensor Product Surfaces (Rational Curves), Subdivision Surfaces	10-Dec	Visibility and Shadows, Ray Tracing
Week 14	15-Dec	Artificial Intelligence for Physics Simulation (Guest Lecture)	17-Dec	Artificial Intelligence for Digital Characters (Guest Lecture)

Tutorials

Each session is organized as follows. TAs first give a summary of the relevant course content and introduce the exercises. TAs then remain in the room to assist students in solving the exercises. They finally explain the solution shortly before the end of the session.

Within one week, both tutorial sessions cover the same materials. The student group split will be announced before the semester.

Slides and exercises will be distributed via Moodle.

An updated script will be released as the semester progresses. Please express your feedback (typos, inconsistencies) via Moodle.

Tutorial Schedule

Week	Tuesday	Thursday	Topic
Week 1	15-Sep	17-Sep	N/A
Week 2	22-Sep	24-Sep	Intro & Image Processing
Week 3	29-Sep	1-Oct	Image Filtering
Week 4	6-Oct	8-Oct	Fourier Transform
Week 5	13-Oct	15-Oct	Optical Flow
Week 6	20-Oct	22-Oct	Data-Driven Compression
Week 7	27-Oct	29-Oct	Object Detection
Week 8	3-Nov	5-Nov	Introduction to WebGL
Week 9	10-Nov	12-Nov	Light & Colors
Week 10	17-Nov	19-Nov	Matrices and Quaternions
Week 11	24-Nov	26-Nov	WebGL Shading Language and Blending
Week 12	1-Dec	3-Dec	Lighting and Shading
Week 13	8-Dec	10-Dec	Curves and Surfaces
Week 14	15-Dec	17-Dec	Vision + Graphics Q&A

Books

Image Processing

Computer Graphics

Visual Computing